Senior Data Engineer - Databricks, Snowflake, SQL, ETL, Spark, Data Warehouse
Optum (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and performance tune complex ETL pipelines and automation using technologies including Databricks, Snowflake, Spark, Airflow, and SQL.
- Manage cloud infrastructure and resolve issues to ensure operational continuity, scheduling data pipelines using Airflow with proper job dependencies.
- Deploy code to higher environments (stage/prod) using GitOps tools like GitHub Actions and Jenkins and provide production support for data warehouse solutions.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, IT, or related field (B.E./B.Tech./MCA/Graduation).
- Minimum 3 years of experience designing and developing ETL solutions in Data Warehouse/BI environments.
- Strong technical skills in Snowflake, Databricks, SQL, Hive, Spark, Airflow, and experience working in cloud environments (preferably Azure).
- Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and Agile/Scrum development methodologies.
Ideal Candidate Profile
- Experienced in building scalable, automated ETL data pipelines in cloud and big data environments with strong technical ownership.
- Comfortable collaborating across technical and non-technical teams, and managing production support tasks.
- Preferably has exposure to healthcare domain data or similar regulated environments for domain understanding.